Damage Location Plot: A Non-Destructive Structural Damage Detection Technique

2009 ◽  
Author(s):  
D. Huynh ◽  
J. He ◽  
D. Tran
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Detection Technique ◽  
Structural Damage Detection ◽  
Damage Location ◽  
Non Destructive

scholarly journals Structural Damage Detection Using Modal Norms

1999 ◽  
Author(s):  
Wodek Gawronski ◽  
Jerzy T. Sawicki
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Structural Damage Detection ◽  
Sensor Location ◽  
Damage Location

Abstract A modal H2 norm is used to detect structural damages. The norm is determined for each sensor location, and for modal modes of interest. The sensor norm detects the damage location, the modal norm detect the most damaged mode.

Structural Damage Detection Depending on Curvature Matrix of Change in Flexibility

2011 ◽  
Vol 255-260 ◽  
pp. 389-393
Author(s):  
Yong Mei Li ◽  
Bin Zhou ◽  
Xi Yuan Zhou ◽  
Guo Fu Sun ◽  
Bo Yan Yang
Keyword(s):  
Numerical Simulation ◽  
Damage Detection ◽  
Cantilever Beam ◽  
Lower Order ◽  
Structural Damage ◽  
Structural Damage Detection ◽  
Principal Diagonal ◽  
Simply Supported ◽  
Damage Location ◽  
Difference Calculation

Flexibility is more sensitive to structural damage than frequency or mode. Curvature matrix of change in flexibility is presented as a new index of nondestructive damage detection, which is derived from change in structural flexibilities calculated from before damaging and after damaging by means of difference calculation twice, firstly to columns, and then to rows. Therefore a new indicator called as δ Flexibility Curvature Matrix Diagonal (δFCMD) is constructed from the principal diagonal elements based on curvature matrix of change in flexibility. The numerical simulation examples indicate that the damage location and severity in structures, with single damage, multiple ones, slight ones and ones at the supports, can be detected efficiently for a cantilever beam, a fixed supported beam, a simply supported beams and so on by the indicator of δFCMD depending on only a few of lower order modes.

MINOR DAMAGE DETECTION USING CHAOTIC EXCITATION AND RECURRENCE ANALYSIS

2011 ◽  
Vol 05 (03) ◽  
pp. 259-270 ◽  
Author(s):  
TADANOBU SATO ◽  
YOUHEI TANAKA
Keyword(s):  
System Dynamics ◽  
Damage Detection ◽  
Structural Damage ◽  
Vibration Response ◽  
Detection Technique ◽  
Structural Damage Detection ◽  
Recurrence Analysis ◽  
Numerical Example ◽  
Response Data

In this paper, we propose a new attractor-based structural damage detection technique using chaotic excitation. Attractor is reconstructed using vibration response data and sensitive to the change of the system dynamics. By comparing the change of attractors from healthy and damaged structures, we detect and localize the damage. We use recurrence analysis to analyze the change of attractor. Numerical example demonstrates the robustness and sensitivity of the proposed method.

Vibration-Based Damage Detection in Plates Using Damage Location Vectors

2011 ◽  
Author(s):  
Mohammed O. Kayed ◽  
Mustafa H. Arafa ◽  
Said M. Megahed
Keyword(s):  
Finite Element ◽  
Damage Detection ◽  
Structural Damage ◽  
Damage Identification ◽  
Element Model ◽  
Response Functions ◽  
Promising Technique ◽  
Experimental Frequency ◽  
Damage Location ◽  
Non Destructive

Vibration-based techniques are increasingly being recognized as effective non-destructive structural damage identification tools. One promising technique relies on combining a finite element model (FEM) of the structure under investigation with a set of experimental frequency response functions (FRFs) to construct a so-called Damage Location Vector (DLV). This paper aims to assess damage detection using DLVs both theoretically and experimentally. To this end, the method is first studied theoretically on a thin plate using simulated damage. The method is then tested experimentally on a free-free plate provided with several damage cases using impact hammer testing. The main contribution of the present work lies in attempting to improve the DLV techniques through the use of the experimental FRF data of the intact structure in addition to the theoretical FRF from a finite element. The results obtained indicate that the improved algorithm can be used to successfully detect structural damage.

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